2026-10-15T13:57:51Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

dec3b0d33677233903a22916f5cf6510f2d5395e30d33b517afd97903a5b46a7 2026-06-02T13:50:10Z language:enopenaire_data

10.7802/2615 https://search.gesis.org/research_data/SDN-10.7802-2615?lang=enhttps://search.gesis.org/research_data/SDN-10.7802-2615?lang=de Code/Syntax: Functions IPU & CI.IPU - Index of Proximity to Unidimensionality (lavaan) Bluemke, MatthiasBluemke, MatthiasUrban, JulianUrban, Julian This R-code complements - and allows to reproduce and flexibly implement - Raykov & Bluemke's (2021, DOI: <a href="https://doi.org/10.1177/0013164420940764" target=_blank>10.1177/0013164420940764 </a>) procedure for examining proximity to unidimensionality for multicomponent measuring instruments with multidimensional structure. The seminal publication provides Mplus code, whereas here we show how the method can be implemented in an open-science framework. The R-code uses latent variable modeling with the help of the lavaan-package and allows one to point and interval estimate an explained variance proportion-based index that may be considered a measure of proximity to unidimensional structure. The approach is readily utilized in educational, behavioral, and social research when it is of interest to evaluate whether a more general structure scale, test, or measuring instrument could be treated as being associated with an approximately unidimensional latent structure for some empirical purposes. Raykov, T., & Bluemke, M. (2021). Examining Multidimensional Measuring Instruments for Proximity to Unidimensional Structure Using Latent Variable Modeling. Educational and Psychological Measurement, 81(2), 319-339. https://doi.org/10.1177/0013164420940764This R-code complements - and allows to reproduce and flexibly implement - Raykov & Bluemke's (2021, DOI: <a href="https://doi.org/10.1177/0013164420940764" target=_blank>10.1177/0013164420940764 </a>) procedure for examining proximity to unidimensionality for multicomponent measuring instruments with multidimensional structure. The seminal publication provides Mplus code, whereas here we show how the method can be implemented in an open-science framework. The R-code uses latent variable modeling with the help of the lavaan-package and allows one to point and interval estimate an explained variance proportion-based index that may be considered a measure of proximity to unidimensional structure. The approach is readily utilized in educational, behavioral, and social research when it is of interest to evaluate whether a more general structure scale, test, or measuring instrument could be treated as being associated with an approximately unidimensional latent structure for some empirical purposes. Raykov, T., & Bluemke, M. (2021). Examining Multidimensional Measuring Instruments for Proximity to Unidimensional Structure Using Latent Variable Modeling. Educational and Psychological Measurement, 81(2), 319-339. https://doi.org/10.1177/0013164420940764 unidimensionalityindex of proximity to unidimensionalitybifactor modelpsychometricsunidimensionalityindex of proximity to unidimensionalitybifactor modelpsychometrics en 2023 Dataset http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2615 2023-09-16 ddi:codebook:2_5